… waste production, and researchers have sought to use advanced technology to solve this
problem. Machine learning (… to promote municipal solid waste management (MSWM) and help …

… waste management by predicting the probability of the waste level in trash bins. By using
machine learning and graph theory, the system can optimize the collection of waste with the …

… machine learning based household waste management system for Green smart society are
aimed to make management of waste … waste in the smart way so that benefit from the waste …

… Therefore, this section concentrates on the current state-of-the-art of the Smart Waste
Management both in research and practical domains. The Smart Waste Management is very broad …

… machine learning and an IoT-based mechanism to effectively handle smart garbage management
… improved accuracy compared to traditional garbage collection systems. The proposed …

… We recommend using the introductory machine learning algorithm here, which can greatly
change simple techniques and success levels. The machine import algorithm combines new …

… waste management system with machine learning algorithm to collect and predict the waste
accurately. … This section introduces the intelligent waste management system that contains …

… for smart waste management system using machine learning- and IoT-based techniques.
The 4 most important parts in this paper include (a) literature review, (b) waste management …

… The waste management operation mainly encompasses various climatic, demographic, …
of IoT and machine learning (ML) in the SWM to predict waste generation, waste classification, …

… of waste and subsequent landfills. Once the recycling is done to sort metals, plastics, and
glass articles, the use of biodegradable waste can be … the use of machine learning and artificial …